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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Residual Generator for a Class of Nonlinear Systems Described by Takagi-Sugeno Models
verfasst von : Dušan Krokavec, Anna Filasová, Vratislav Hladký
Erschienen in: Aspects of Computational Intelligence: Theory and Applications
Verlag: Springer Berlin Heidelberg
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The paper presents the principle of fuzzy-observer-based residual generator design for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable, as well as un-measurable premise variables. The problem addressed can be indicated as approach giving sufficient design conditions outlined in the terms of linear matrix inequalities, and possess a global stable structure. Simulation results illustrate the design procedures and demonstrate the basic performances of the proposed residual generator structures.